首页> 外文期刊>Transportation research >Joint charging mode and location choice model for battery electric vehicle users
【24h】

Joint charging mode and location choice model for battery electric vehicle users

机译:电池电动汽车用户的联合充电模式和位置​​选择模型

获取原文
获取原文并翻译 | 示例
           

摘要

This paper aims to investigate the choice for charging mode and location with the revealed preference data of battery electric vehicle (BEV) users in Japan. Three alternatives including the normal charging at home (for private BEVs)/company premise (for commercial BEVs), normal charging at public charging stations and fast charging at public charging stations are defined. A mixed logit model is developed to investigate what and how factors influence BEV users' choice of charging mode (normal or fast) and location (home/company or public stations), by identifying an appropriate instrumental variable to correct the serious endogeneity problem caused by the midnight indicator. The parameters estimation and results interpretation are conducted for private and commercial BEVs respectively. They suggest that the battery capacity, midnight indicator, initial state of charge (SOC) and number of past fast charging events are the main predictors for users' choice of charging mode and location, that the day interval between current charging and next trip positively affects the normal charging at home/company. In addition, with the increasing of vehicle kilometres of travel (VKT)/travel duration on formerext travel day; the probability of normal charging at home/company is increased for commercial BEVs, while is decreased for private BEVs. The findings obtained herein have provided new insights into the realization of power peak-load shifting and operation strategy for public charging stations, as well as inspired the development and application of new models and methodologies to determine the density and deployment of public charging stations. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文旨在利用日本电池电动汽车(BEV)用户所揭示的偏好数据来调查充电模式和位置​​的选择。定义了三种替代方案,包括在家中普通充电(用于私人BEV)/公司场所(用于商用BEV),公共充电站的常规充电和公共充电站的快速充电。通过识别适当的工具变量来纠正由BEV用户造成的严重内生性问题,开发了一种混合logit模型,以研究哪些因素以及如何影响BEV用户的充电方式选择(正常或快速)和位置(家庭/公司或公共场所)午夜指示器。参数估计和结果解释分别针对私人和商用BEV进行。他们认为,电池容量,午夜指示器,初始充电状态(SOC)和过去的快速充电事件次数是用户选择充电模式和位置​​的主要预测因素,当前充电与下次旅行之间的间隔时间对在家/公司正常充电。此外,随着车辆前/后一天的行驶公里数(VKT)/行驶持续时间的增加,商用BEV会增加在家/公司正常充电的概率,而私人BEV会降低这种可能性。本文获得的发现为公共充电站的功率峰值负载转移和运行策略的实现提供了新的见识,并启发了开发和应用新模型和方法来确定公共充电站的密度和部署。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号